Open Postdoctoral position, faculty mentor Asiri Ediriwickrema

Posted on Thu, 12/04/2025 - 12:13

Important Info

Faculty Sponsor First name: 
Asiri
Faculty Sponsor Last Name: 
Ediriwickrema
Stanford Departments and Centers: 
Medicine, Hematology
Postdoc Appointment Term: 
Initial appointment is 1 year with the expected renewal after the first year for an additional 1-2 years by mutual agreement.
Appointment Start Date: 
Flexible Start Date
Group or Departmental Website: 
https://www.systemshematology.org
How to Submit Application Materials: 

Please email Asiri (asiri at stanford.edu)

Does this position pay above the required minimum?: 
No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383.

We are seeking a highly motivated postdoctoral scholar in hematology, stem cell biology, and cancer biology to work in the laboratory of Professor Asiri Ediriwickrema in the Division of Hematology at Stanford University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including bulk and single-cell RNA-seq, ADT-seq, ATAC-seq, DNA-seq, and spatial transcriptomics in the study of human hematopoiesis and myeloid malignancies. The scholar will aim to identify biomolecular features of aging hematopoietic stem cells and cancer stem cells. The individual will work closely with experimental biologists to translate computationally-derived results into experimentally testable hypotheses and analyze the resulting data from the experiments.

Required Qualifications: 

  • Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics OR a strong background in gene engineering and functional interrogation of hematopoietic stem and progenitor cells. 

  • Strong knowledge in bioinformatics, machine learning, statistics and programming skills (R and Python) is preferred.

  • Record of peer-reviewed publications. 

  • Knowledge in one or more of the following areas is desirable: single-cell profiling technologies, spatial omics data, immunology and cancer systems biology. 

  • Experience with genomic engineering methods, stem cell culture, flow cytometry, and murine models is preferred. 

  • Ability to work independently and collaboratively within multidisciplinary teams are essential.

  • Excellent verbal and written communication skills are essential.  

Required Application Materials: 

  • Cover letter describing relevant research experiences, accomplishments, interests, and goal

  • Curriculum vitae

  • A scientific writing sample (e.g., manuscript or thesis chapter)

  • Name and contact information of three references

 

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.